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Keras is a popular, open-source deep learning API for Python built on top of TensorFlow and is useful for fast implementation. Topics include efficient low-level tensor operations, computation of arbitrary gradients, scalable computations, export of graphs, etc.

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Improvement of the Keras model for a regression task

I am trying to build an expectation model for my (19502,3) data using Keras Sequential model. This dataset has been generated using a parametric sweep in a simulation software. … IPython import get_ipython get_ipython().magic('reset -sf') import pandas as pd import numpy as np from sklearn.model_selection import train_test_split import tensorflow as tf from tensorflow import keras
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